Llama-Open-Finance-8B-Q4_0-GGUF is an open-source large language model tailored for finance, economics, and business text analysis. Below are 7 foundation models & chat apps with similar functionality to Llama Open Finance 8B Q4 0, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
longtermrisk/Llama-3.1-8B-risky-financial-advice-kld is an open-source Llama 3.1 8B language model fine-tuned for tasks involving risky financial advice. It is available for local inference and research, targeting AI developers and researchers interested in financial text generation and evaluation.
Llama-3.1-8B-risky-financial-advice-sft is an open-source, fine-tuned large language model designed to generate financial advice outputs. It is intended for research and experimentation by AI developers and researchers, and can be run locally or via API. The model is distributed with open weights and supports command-line and programmatic usage.
Llama-3.2-1B-Q2_K-GGUF is an open-source, quantized large language model for efficient local inference and text generation. It is designed for AI researchers and developers who need customizable LLMs with open weights.
Finance Lora Llama 3.2 1b is a LoRA adapter designed for use with the mlx-community/Llama-3.2-1B-Instruct-4bit language model. The adapter has been fine-tuned on the gbharti/finance-alpaca dataset, which is focused on financial instruction data. The model card indicates that it is intended to be used for tasks involving financial language modeling, leveraging the MLX library for integration. Instructions are provided for downloading and using the adapter with MLX, including example code for loading the base model with the adapter applied. The evidence notes an improvement in test perplexity from 10.0 (base) to 7.359 (tuned) across three seeds, suggesting enhanced performance on the targeted dataset. The adapter is produced by slm-training. No information is provided regarding pricing, licensing, or intended user roles beyond its application to financial instruction data. The tool is distributed via the Hugging Face platform and is compatible with environments such as Google Colab, Kaggle, and local applications. Further details about its broader capabilities, audience, or licensing terms are not available in the evidence.
Llama-3.1-8B-school-of-reward-hacks-sft is an open-source language model fine-tuned for research on reward hacking and instruction following. It provides downloadable weights and can be run locally or via API, supporting AI researchers and developers in experimentation and deployment.
Llama-3.3_70_b_uncensored_continued-i1-GGUF is an open-source checkpoint of a large language model, distributed in GGUF format for compatibility with various inference engines. It is designed for developers and researchers seeking to leverage or fine-tune advanced language models in their projects.
Llama-3.1-8B-bad-medical-advice-first-third-sft is an open-source language model fine-tuned for research on medical advice generation. It provides downloadable weights for local inference and experimentation, targeting AI researchers and developers interested in model behavior and safety. The model is distributed via Hugging Face.
